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DBSCANClusterer (Commons Math 3.2 API)
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org.apache.commons.math3.ml.clustering</FONT>
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Class DBSCANClusterer&lt;T extends <A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</A>&gt;</H2>
<PRE>
<A HREF="http://download.oracle.com/javase/6/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">java.lang.Object</A>
  <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">org.apache.commons.math3.ml.clustering.Clusterer</A>&lt;T&gt;
      <IMG SRC="../../../../../../resources/inherit.gif" ALT="extended by "><B>org.apache.commons.math3.ml.clustering.DBSCANClusterer&lt;T&gt;</B>
</PRE>
<DL>
<DT><DT><B>Type Parameters:</B><DD><CODE>T</CODE> - type of the points to cluster</DL>
<HR>
<DL>
<DT><PRE>public class <B>DBSCANClusterer&lt;T extends <A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</A>&gt;</B><DT>extends <A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</A>&lt;T&gt;</DL>
</PRE>

<P>
DBSCAN (density-based spatial clustering of applications with noise) algorithm.
 <p>
 The DBSCAN algorithm forms clusters based on the idea of density connectivity, i.e.
 a point p is density connected to another point q, if there exists a chain of
 points p<sub>i</sub>, with i = 1 .. n and p<sub>1</sub> = p and p<sub>n</sub> = q,
 such that each pair &lt;p<sub>i</sub>, p<sub>i+1</sub>&gt; is directly density-reachable.
 A point q is directly density-reachable from point p if it is in the &epsilon;-neighborhood
 of this point.
 <p>
 Any point that is not density-reachable from a formed cluster is treated as noise, and
 will thus not be present in the result.
 <p>
 The algorithm requires two parameters:
 <ul>
   <li>eps: the distance that defines the &epsilon;-neighborhood of a point
   <li>minPoints: the minimum number of density-connected points required to form a cluster
 </ul>
<P>

<P>
<DL>
<DT><B>Since:</B></DT>
  <DD>3.2</DD>
<DT><B>Version:</B></DT>
  <DD>$Id: DBSCANClusterer.java 1461866 2013-03-27 21:54:36Z tn $</DD>
<DT><B>See Also:</B><DD><a href="http://en.wikipedia.org/wiki/DBSCAN">DBSCAN (wikipedia)</a>, 
<a href="http://www.dbs.ifi.lmu.de/Publikationen/Papers/KDD-96.final.frame.pdf">
 A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise</a></DL>
<HR>

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<TD><CODE><B><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html#DBSCANClusterer(double, int)">DBSCANClusterer</A></B>(double&nbsp;eps,
                int&nbsp;minPts)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a new instance of a DBSCANClusterer.</TD>
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<TD><CODE><B><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html#DBSCANClusterer(double, int, org.apache.commons.math3.ml.distance.DistanceMeasure)">DBSCANClusterer</A></B>(double&nbsp;eps,
                int&nbsp;minPts,
                <A HREF="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</A>&nbsp;measure)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Creates a new instance of a DBSCANClusterer.</TD>
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<CODE>&nbsp;<A HREF="http://download.oracle.com/javase/6/docs/api/java/util/List.html?is-external=true" title="class or interface in java.util">List</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Cluster.html" title="class in org.apache.commons.math3.ml.clustering">Cluster</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html" title="type parameter in DBSCANClusterer">T</A>&gt;&gt;</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html#cluster(java.util.Collection)">cluster</A></B>(<A HREF="http://download.oracle.com/javase/6/docs/api/java/util/Collection.html?is-external=true" title="class or interface in java.util">Collection</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html" title="type parameter in DBSCANClusterer">T</A>&gt;&nbsp;points)</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Performs DBSCAN cluster analysis.</TD>
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<CODE>&nbsp;double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html#getEps()">getEps</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the maximum radius of the neighborhood to be considered.</TD>
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<CODE>&nbsp;int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html#getMinPts()">getMinPts</A></B>()</CODE>

<BR>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Returns the minimum number of points needed for a cluster.</TD>
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<TH ALIGN="left"><B>Methods inherited from class org.apache.commons.math3.ml.clustering.<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</A></B></TH>
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<A NAME="DBSCANClusterer(double, int)"><!-- --></A><H3>
DBSCANClusterer</H3>
<PRE>
public <B>DBSCANClusterer</B>(double&nbsp;eps,
                       int&nbsp;minPts)
                throws <A HREF="../../../../../../org/apache/commons/math3/exception/NotPositiveException.html" title="class in org.apache.commons.math3.exception">NotPositiveException</A></PRE>
<DL>
<DD>Creates a new instance of a DBSCANClusterer.
 <p>
 The euclidean distance will be used as default distance measure.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>eps</CODE> - maximum radius of the neighborhood to be considered<DD><CODE>minPts</CODE> - minimum number of points needed for a cluster
<DT><B>Throws:</B>
<DD><CODE><A HREF="../../../../../../org/apache/commons/math3/exception/NotPositiveException.html" title="class in org.apache.commons.math3.exception">NotPositiveException</A></CODE> - if <code>eps &lt; 0.0</code> or <code>minPts &lt; 0</code></DL>
</DL>
<HR>

<A NAME="DBSCANClusterer(double, int, org.apache.commons.math3.ml.distance.DistanceMeasure)"><!-- --></A><H3>
DBSCANClusterer</H3>
<PRE>
public <B>DBSCANClusterer</B>(double&nbsp;eps,
                       int&nbsp;minPts,
                       <A HREF="../../../../../../org/apache/commons/math3/ml/distance/DistanceMeasure.html" title="interface in org.apache.commons.math3.ml.distance">DistanceMeasure</A>&nbsp;measure)
                throws <A HREF="../../../../../../org/apache/commons/math3/exception/NotPositiveException.html" title="class in org.apache.commons.math3.exception">NotPositiveException</A></PRE>
<DL>
<DD>Creates a new instance of a DBSCANClusterer.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>eps</CODE> - maximum radius of the neighborhood to be considered<DD><CODE>minPts</CODE> - minimum number of points needed for a cluster<DD><CODE>measure</CODE> - the distance measure to use
<DT><B>Throws:</B>
<DD><CODE><A HREF="../../../../../../org/apache/commons/math3/exception/NotPositiveException.html" title="class in org.apache.commons.math3.exception">NotPositiveException</A></CODE> - if <code>eps &lt; 0.0</code> or <code>minPts &lt; 0</code></DL>
</DL>

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<A NAME="getEps()"><!-- --></A><H3>
getEps</H3>
<PRE>
public double <B>getEps</B>()</PRE>
<DL>
<DD>Returns the maximum radius of the neighborhood to be considered.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>maximum radius of the neighborhood</DL>
</DD>
</DL>
<HR>

<A NAME="getMinPts()"><!-- --></A><H3>
getMinPts</H3>
<PRE>
public int <B>getMinPts</B>()</PRE>
<DL>
<DD>Returns the minimum number of points needed for a cluster.
<P>
<DD><DL>

<DT><B>Returns:</B><DD>minimum number of points needed for a cluster</DL>
</DD>
</DL>
<HR>

<A NAME="cluster(java.util.Collection)"><!-- --></A><H3>
cluster</H3>
<PRE>
public <A HREF="http://download.oracle.com/javase/6/docs/api/java/util/List.html?is-external=true" title="class or interface in java.util">List</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Cluster.html" title="class in org.apache.commons.math3.ml.clustering">Cluster</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html" title="type parameter in DBSCANClusterer">T</A>&gt;&gt; <B>cluster</B>(<A HREF="http://download.oracle.com/javase/6/docs/api/java/util/Collection.html?is-external=true" title="class or interface in java.util">Collection</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html" title="type parameter in DBSCANClusterer">T</A>&gt;&nbsp;points)
                                             throws <A HREF="../../../../../../org/apache/commons/math3/exception/NullArgumentException.html" title="class in org.apache.commons.math3.exception">NullArgumentException</A></PRE>
<DL>
<DD>Performs DBSCAN cluster analysis.
<P>
<DD><DL>
<DT><B>Specified by:</B><DD><CODE><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html#cluster(java.util.Collection)">cluster</A></CODE> in class <CODE><A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterer.html" title="class in org.apache.commons.math3.ml.clustering">Clusterer</A>&lt;<A HREF="../../../../../../org/apache/commons/math3/ml/clustering/DBSCANClusterer.html" title="type parameter in DBSCANClusterer">T</A> extends <A HREF="../../../../../../org/apache/commons/math3/ml/clustering/Clusterable.html" title="interface in org.apache.commons.math3.ml.clustering">Clusterable</A>&gt;</CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - the points to cluster
<DT><B>Returns:</B><DD>the list of clusters
<DT><B>Throws:</B>
<DD><CODE><A HREF="../../../../../../org/apache/commons/math3/exception/NullArgumentException.html" title="class in org.apache.commons.math3.exception">NullArgumentException</A></CODE> - if the data points are null</DL>
</DD>
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